getEffDims | R Documentation |
Extract effective dimensions from an object of class fitMod. The table below gives an overview of the effective dimensions and an explanation of their meaning.
Effective Dimension | Explanation |
colId | Linear trend along columns |
rowId | Linear trend along rows |
fCol | Smooth trend along columns |
fRow | Smooth trend along rows |
fColRow | Linear trend in rows changing smoothly along cols |
colfRow | Linear trend in cols changing smoothly along rows |
fColfRow | Smooth-by-smooth interaction trend over rows and cols |
surface | Sum of smooth trends |
getEffDims(
fitMod,
timePoints = names(fitMod),
EDType = c("dimension", "ratio"),
outFile = NULL
)
fitMod |
An object of class |
timePoints |
A character or numeric vector indicating the time point(s) for which the effective dimension should be extracted. When using a character string to reference a time point, the value has to be an exact match to one of the existing time points. When using a number it will be matched by its number ("timeNumber") in the timePoints attribute of the TP object. |
EDType |
A character string specifying if the effective dimension ("dimension") or the ratio of effective dimensions ("ratio") should be returned. |
outFile |
A character string indicating the .csv file to which the
results should be written. If |
A data.frame with effective dimensions per time point.
Other functions for spatial modeling:
fitModels()
,
getCorrected()
,
getGenoPred()
,
getHerit()
,
getVar()
,
plot.fitMod()
,
summary.fitMod()
## Using the first example dataset (PhenovatorDat1):
data("PhenovatorDat1")
phenoTP <- createTimePoints(dat = PhenovatorDat1,
experimentName = "Phenovator",
genotype = "Genotype",
timePoint = "timepoints",
repId = "Replicate",
plotId = "pos",
rowNum = "y", colNum = "x",
addCheck = TRUE,
checkGenotypes = c("check1", "check2",
"check3", "check4"))
## Fit a SpATS model on few time points:
modPhenoSp <- fitModels(TP = phenoTP,
trait = "EffpsII",
timePoints = c(1, 6, 20))
## Extract the effective dimensions for all available time points in the
## model object:
effDimSp <- getEffDims(modPhenoSp)
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